Predictive Analytics im Finanzcontrolling. Ist der Einsatz von Predictive Analytics sinnvoll bei der Erstellung eines Finanzplans?
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Bachelorarbeit aus dem Jahr 2017 im Fachbereich BWL - Controlling, Note: 1,3, Leuphana Universität Lüneburg (Institut für analytische Unternehmensführung), Sprache: Deutsch, Abstract: Ziel dieser Arbeit soll sein, einen allgemeinen Überblick darüber zu bekommen, wozu eine moderne Predictive Analytics Lösung fähig ist und au erdem die Frage zu klären, ob der Einsatz einer solchen Anwendung speziell im Finanzcontrolling zur Erstellung einer detailgenauen Finanzplanung geeignet ist. Dazu werden im Voraus einige dem Business Analytics Bereich zuzuordnende Begriffe näher erläutert, die für das weitere Verständnis wichtig sind. Im darauffolgenden Schritt soll allgemein auf das Thema Predictive Analytics eingegangen werden. Der Fokus liegt hier auch auf den neuen Herausforderungen und Gefahren, die den zuständigen Controller erwarten können. Des Weiteren soll auch die ethische Perspektive in Betracht gezogen werden, um festzustellen, ob die Erstellung einer themenbezogenen Governance im Unternehmen ratsam ist. Für einen guten Überblick über die Fähigkeiten einer Business Analytics Anwendung eignet sich am besten ein praktisches Beispiel. So soll mit der Software RapidMiner Studio ein Text Mining in dem sozialen Medium Twitter durchgeführt und die Ergebnisse anschlie end grafisch dargestellt und interpretiert werden. Der zentrale Aspekt dieser Ausarbeitung ist die Frage, ob der Einsatz einer Predictive Analytics Lösung im Finanzcontrolling sinnvoll ist. Für den Einsatz von Predictive Analytics im Finanzcontrolling kommt am ehesten ein kurzfristiger Finanzplan in Frage. Hier sollen potenzielle Vorteile durch den Einsatz entsprechender Software aufgedeckt werden. Dazu wird im ersten Schritt näher auf den Finanzplan an sich eingegangen, um im Anschluss darzustellen, wie eine Finanzprognose mithilfe der Predictive Analytics funktionieren kann. Am Ende soll ein umfassender Prozess skizziert werden, wie Predictive Analytics im Unternehmen installiert und eingesetzt werden mus
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